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gstack/CONTRIBUTING.md
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Garry TanandOpenAI Codex 9f81911136 v1.86.0.0 feat: route outside reviews by harness (#2850)
* feat: add a restricted and supervised Claude Code runner

Preserve configured authentication and models while enforcing tool access, strict completion JSON, bounded output and process cleanup. Cover argv, failure handling, session metadata and Windows process containment.

* feat: route outside reviews by harness and migrate wrapper installs

Use Claude Code from Codex and Codex from other supported hosts, with shared invocation rendering, positive gate validation and per-phase provenance. Rename /claude to /claude-code, repair managed shared and copied installations safely, and generate native Kiro skills. Add installed-workflow, failure-injection and live cross-harness regression coverage.

* test: recognize CEO mode labels without terminal spacing

The paid workflow rendered SCOPEEXPANSION at option 4, but its driver required a literal space. Match the leading mode title without cursor-spacing artifacts and ignore adjacent preview text. Preserve missing-target failures and downstream posture assertions.

* test: isolate plan-count fixtures before starting review workflows

Seed the complete test plan in a private git repository before launching Claude, so a bare slash command cannot review the live workspace while a delayed fixture message remains queued. Preserve count thresholds, parsers and budgets. Add initial-context and installed-discovery tests, and retain startup/terminal diagnostics on failed evaluations.

* test: stabilize review fixtures and Claude eval startup

Preserve source boundaries in workflow judge inputs, isolate CEO mode plans, and wait for interactive trust input readiness. Keep startup failure evidence and retain existing models, budgets, and assertions.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* test: classify collapsed review modes and isolate seeded findings

Keep review questions out of the setup count when terminal cursor positioning removes spaces. State existing webhook safeguards so the five-finding control measures its seeded defects without accidental extra security and concurrency gaps. Preserve question bands and the paired control.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* test: isolate browser daemon state across free shards

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* test: stabilize native review counting and interactive navigation

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* chore: prepare v1.82.0.0 release

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: eliminate browser and process-cleanup test flakes

Pin every CI surface to Bun 1.4.0 to avoid extra-stdio finalizers closing
reused live sockets. Add an isolated GC/listener regression that fails on
Bun 1.3.13, and prevent coordinated rollback to an affected CI runtime.

Check renderer cleanup against the render's own staging directory so
concurrent renders cannot invalidate the assertion. Make the no-pgrep
process-tree walk tolerate disappearing /proc entries, and synchronize
its test fixture through child readiness and pipe EOF instead of sleeps.

Validation: 9,157 passed, 31 skipped, zero failures across 556 files with
retries disabled. Build, all-host generation freshness, and skill checks
passed. All three races have failing-before/passing-after regressions.

* fix: count completed native review questions in evals

* fix: drive review navigation from confirmed native choices

* fix: require complete section-loading eval reports

* test: isolate telemetry HTTP transport from local assertions

* fix: keep review input on the active native question

* test: let tunnel revocation daemon choose an available port

* test: allocate available ports for pairing and watchdog fixtures

* fix: stabilize planning eval navigation and phase reporting

* test: isolate installed runtime paths in planning evals

* test: stabilize review evidence and concurrent refresh fixtures

* fix: resolve design findings before editing the plan

* fix: honor and persist disabled outside plan reviews

* fix: preserve planning decisions and terminal evidence

Load installed host reviews at autoplan phase entry and wait for completed
reviewers and saved artifacts. Reuse approved remedies while preserving
individual finding decisions.

Drive interactive evals from the current terminal viewport, bind native
questions across scrolling, and require complete native report evidence.
Cover captured stale menus, permission lifecycles, setup classification,
and disabled-review tool availability with deterministic regressions.

Advance release metadata and the upgrade migration to the unclaimed
1.83.0.0 slot.

* fix: drive native review questions and preserve current plans

Use the native single-choice keyboard protocol and current terminal viewport,
with per-question navigation inside packets and completed-call coverage.
Keep permissions, multi-select menus, and Submit controls distinct.

Send Autoplan reviewers the amended implementation plan, keep its review record
separate, and supply retained application contracts in the chain fixture.
Clarify individual DevEx decisions and complete CEO fix options; use one active
plan destination for the section-loading report.

* fix: preserve complete plan-review decisions

* fix: recognize native plan dialogs and reviewer controls

* fix: preserve review decisions and phase completion

* fix: recognize completed reviews without losing findings

* fix: preserve review continuity and native eval completion

* test: fix native review completion and eval retry isolation

* test: handle native review menus and complete eval fixtures

* test: fix native review setup, completion, and isolation failures

* test: limit native skill discovery to runtime assets

* fix: bind Autoplan reviews to full ordered phase inputs

* test: fix planning eval routing, counting, and timeout handling

* chore: advance queued release to v1.84.0.0

* fix: preserve complete review inputs and planning decisions

* fix: reconcile review approvals and preserve phase obligations

* fix: preserve review obligations and unblock eval permissions

Carry recorded Autoplan requirements into blind phase inputs, require Eng
review approvals before exit, and exercise combined asynchronous flows in
CEO reviews. Correct native finding and handoff classification and unblock
repeated report edits using scoped request identities.

* fix: retain plan requirements and complete native review dialogs

* fix: complete native review prompts and retain plan references

* fix: preserve review inputs and classify native eval evidence

* fix: check competing completion orders in CEO reviews

* fix: recognize review decisions and require phase methodology

Require the current phase methodology before Autoplan snapshots. Correct
substantive decision, closed handoff, and cache-finding classification, and
honor the recommended implementation approach in native review dialogs.

Add captured-transcript regressions without changing review thresholds,
provider models, retries, or deadlines.

* test: bind native review decisions and close completed handoffs

* fix: complete review dialogs and verify methodology delivery

* fix: preserve review evidence and unblock native eval prompts

* fix: handle native review question completions

* fix: recognize native review narration and controls

* fix: count native review decisions and isolate eval fixtures

* test: verify seeded review coverage and current artifact permissions

* test: isolate model and brain-aware skill renders

* fix: repair native workflow evaluation and clarify review steps

* fix: stabilize workflow eval evidence and review guidance

* test: repair native workflow observation and fixture isolation

* fix: recognize completed workflow evidence and owned skill reads

* test: repair seeded workflow delivery and completion evidence

* test: recognize current review evidence across native forms

* test: handle native review variants and permission redraws

* fix: honor review preferences and recognize native eval evidence

* test: recognize completed review decisions and queued permissions

* test: match current review contracts and partial-line edits

* test: recognize completed workflow evidence and bounded human waits

* fix: preserve review entry gates and native eval interactions

* fix: recognize native workflow evidence and preserve review gates

* test: recognize current review evidence and preconfigure workflow fixtures

* test: recognize completed review findings and scoped artifact permissions

* fix: stabilize native workflow review and permission evidence

* fix: recognize current review evidence and scoped edit confirmations

Clarify Design and engineering review entry instructions and Design scoring.
Recognize required legacy coverage and public Autoplan completion recaps.
Bind the pending Edit confirmation to its exact file, ordered digest, and
one-request approval when a preceding command display remains visible.
Keep reviews within their existing size limits and preserve scope gates
when extracting workflow fixtures from either supported preamble header.

Keep failure outcomes, review thresholds, provider choices, and eval budgets.

* fix: recover review workflow progress and eval evidence

* fix: recognize valid review evidence and scope selection

* test: fix review evidence parsing and repeated artifact prompts

* test: recognize valid review decisions and pending native cards

* fix(plan-eng-review): keep final navigation consistent with approved tasks

* test: recognize valid review evidence and bind legacy diff requests

* fix: stabilize review eval evidence and harness repair guidance

* docs: update project documentation for v1.85.0.0

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* test: fix Windows CI fixtures and credential scan

Rebase captured JSON values and filesystem evidence using the appropriate
path convention. Compile native fake CLIs on Windows and synchronize pipe
holder readiness, with cleanup retained when assertions fail.

Assemble synthetic credential fixtures at runtime so the added-line scan
keeps enforcing the same gate without flagging its own rejection controls.

Discover generated skills directly for the empty-find regression check,
avoiding a recursive scan through saved evaluation artifacts and dependencies.

* fix: preserve source renders on Windows

Compare canonical generator paths using native separators so an output
sidecar pointing at the source cannot overwrite its skill or metadata.
Keep the regression fixture isolated from the real checkout and expose
freshness diagnostics before asserting subprocess status.

Detach Windows drain-test pipe holders from the fake provider's automatic
child cleanup while preserving the enclosing runner job and its assertions.

* fix: clarify outside review fallback and CEO decisions

Render one applicable own-harness fallback path and retain native review,
disabled policy, and missing-coverage semantics. Align report field names
and mode labels, and make the existing per-cut scope approval explicit.

Regenerate skill outputs and keep the workflow judge's model, thresholds,
and retry policy unchanged.

* chore: move release to free version slot (v1.86.0.0)

PR #2852 now claims v1.85.0.0. Align the release metadata and
rename migration so upgrades from that version still receive it.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: include engineering review prerequisites and restore branch context

* fix: recognize coverage diagrams and clarify design review instructions

* fix: preserve file identities and join Windows test processes

---------

Co-authored-by: OpenAI Codex <noreply@openai.com>
2026-09-14 14:32:45 -07:00

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Markdown

# Contributing to gstack
Thanks for wanting to make gstack better. Whether you're fixing a typo in a skill prompt or building an entirely new workflow, this guide will get you up and running fast.
## Quick start
gstack skills are Markdown files that Claude Code discovers from a `skills/` directory. Normally they live at `~/.claude/skills/gstack/` (your global install). But when you're developing gstack itself, you want Claude Code to use the skills *in your working tree* — so edits take effect instantly without copying or deploying anything.
That's what dev mode does. It symlinks your repo into the local `.claude/skills/` directory so Claude Code reads skills straight from your checkout.
```bash
git clone https://github.com/garrytan/gstack.git && cd gstack
bun install # install dependencies
bin/dev-setup # activate dev mode
```
> **Full clone vs shallow.** The README's user-facing install uses `--depth 1` for speed. As a contributor, use a full clone (no `--depth` flag) — you'll need history for `git log`, `git blame`, `git bisect`, and reviewing PRs against earlier versions. If you already have a `--depth 1` clone from following the README, promote it to a full clone with `git fetch --unshallow`.
Now edit any `SKILL.md`, invoke it in Claude Code (e.g. `/review`), and see your changes live. When you're done developing:
```bash
bin/dev-teardown # deactivate — back to your global install
```
## Operational self-improvement
gstack automatically learns from failures. At the end of every skill session, the agent
reflects on what went wrong (CLI errors, wrong approaches, project quirks) and logs
operational learnings to `~/.gstack/projects/{slug}/learnings.jsonl`. Future sessions
surface these learnings automatically, so gstack gets smarter on your codebase over time.
No setup needed. Learnings are logged automatically. View them with `/learn`.
### The contributor workflow
1. **Use gstack normally** — operational learnings are captured automatically
2. **Check your learnings:** `/learn` or `ls ~/.gstack/projects/*/learnings.jsonl`
3. **Fork and clone gstack** (if you haven't already)
4. **Symlink your fork into the project where you hit the bug:**
```bash
# In your core project (the one where gstack annoyed you)
ln -sfn /path/to/your/gstack-fork .claude/skills/gstack
cd .claude/skills/gstack && bun install && bun run build && ./setup
```
Setup creates per-skill directories with SKILL.md symlinks inside (`qa/SKILL.md -> gstack/qa/SKILL.md`),
links each skill's runtime assets alongside (sections/, templates, checklists — everything except
SKILL.md, tests, build output, and `.tmpl` sources), and asks your prefix preference.
Pass `--no-prefix` to skip the prompt and use short names.
5. **Fix the issue** — your changes are live immediately in this project
6. **Test by actually using gstack** — do the thing that annoyed you, verify it's fixed
7. **Open a PR from your fork**
This is the best way to contribute: fix gstack while doing your real work, in the
project where you actually felt the pain.
### Session awareness
When you have 3+ gstack sessions open simultaneously, every question tells you which project, which branch, and what's happening. No more staring at a question thinking "wait, which window is this?" The format is consistent across all skills.
## Working on gstack inside the gstack repo
When you're editing gstack skills and want to test them by actually using gstack
in the same repo, `bin/dev-setup` wires this up. It creates `.claude/skills/`
symlinks (gitignored) pointing back to your working tree, so Claude Code uses
your local edits instead of the global install.
```
gstack/ <- your working tree
├── .claude/skills/ <- created by dev-setup (gitignored)
│ ├── gstack -> ../../ <- symlink back to repo root
│ ├── review/ <- real directory (short name, default)
│ │ └── SKILL.md -> gstack/review/SKILL.md
│ ├── ship/ <- or gstack-review/, gstack-ship/ if --prefix
│ │ └── SKILL.md -> gstack/ship/SKILL.md
│ └── ... <- one directory per skill
├── review/
│ └── SKILL.md <- edit this, test with /review
├── ship/
│ └── SKILL.md
├── browse/ <- /browse skill + gstack's own browser engine (the fallback)
│ ├── src/ <- TypeScript source
│ └── dist/ <- compiled binary (gitignored)
├── lib/
│ ├── aside-render.ts <- local-HTML rendering: Aside first, browse engine fallback
│ └── design-catalog.ts <- typed design anti-pattern catalog; review/design-checklist.md is generated from it
├── bin/
│ └── gstack-render.ts <- the CLI skills call to render a local HTML file
└── ...
```
Setup creates real directories (not symlinks) at the top level with a SKILL.md
symlink inside, plus links to each skill's runtime assets (sections/, templates,
checklists). Alias skills (`_gstack-command`, `connect-chrome`) install as
rewritten copies, never symlinks — editing a symlinked alias would corrupt the
generated source. This ensures Claude discovers them as top-level skills, not nested
under `gstack/`. Names depend on your prefix setting (`~/.gstack/config.yaml`).
Short names (`/review`, `/ship`) are the default. Run `./setup --prefix` if you
prefer namespaced names (`/gstack-review`, `/gstack-ship`).
## Day-to-day workflow
```bash
# 1. Enter dev mode
bin/dev-setup
# 2. Edit a skill template (SKILL.md files are generated — edit the .tmpl)
vim review/SKILL.md.tmpl
bun run gen:skill-docs # or: bun run dev:skill (watch mode, auto-regen on change)
# 3. Test it in Claude Code — changes are live
# > /review
# 4. Editing browse source? Rebuild the binary
bun run build
# 5. Done for the day? Tear down
bin/dev-teardown
```
### Brain-aware blocks in a dev workspace (gbrain installed)
If gbrain is installed and usable (`bin/gstack-gbrain-detect --is-ok` exits 0),
`bin/dev-setup` keeps your tracked `SKILL.md` files canonical and renders the
brain-aware variant (the `GBRAIN_CONTEXT_LOAD` / `GBRAIN_SAVE_RESULTS` blocks)
into `.claude/gstack-rendered/` (gitignored, per-workspace). It then repoints the
workspace's `SKILL.md` symlinks at that render, so your Claude sessions get the
full gbrain experience while `git status` stays clean. Under the hood, dev-setup
passes `GSTACK_SKIP_GBRAIN_REGEN=1` inline to the nested `./setup` (so it never
dirties tracked source) and runs `gen:skill-docs:user --out-dir .claude/gstack-rendered`,
which rewrites only the section-base paths to point at the render. `bin/dev-teardown`
removes the render. To make the blocks live across your *other* projects' Claude
sessions, run `gstack-config gbrain-refresh`, which renders them to a user render
dir (`${GSTACK_USER_RENDER_DIR:-~/.gstack/render/claude}`, swapped in only on a
successful render) and repoints the installed skills at it via `gstack-relink` —
the global install checkout stays git-clean, and the refresh is guarded so it
never touches a symlinked or non-gstack directory.
## Testing & evals
Codex evals and the GPT benchmark adapter default to `gpt-6-astra`:
explicit model > `GSTACK_CODEX_MODEL` > default. Claude capture and judge
defaults are `claude-fable-5-1`, resolved through `lib/eval-model.ts`:
- Claude session, PTY, and Agent SDK eval runners and the Claude benchmark adapter: explicit model > `EVALS_MODEL` > `GSTACK_EVAL_MODEL_CAPTURE` > `GSTACK_EVAL_MODEL` > default.
- Shared judge calls (including benchmark quality scoring): explicit model > `GSTACK_EVAL_MODEL_JUDGE` > `GSTACK_EVAL_MODEL` > default. `EVALS_MODEL` applies to capture runners, not judges.
Warmup stays on `claude-haiku-4-5`; distill stays on
`claude-haiku-4-5-20251001`. Explicit test and historical benchmark model
selections still win. Known frontier defaults are maintained in releases;
there is no automatic model discovery. Paid-run costs shown below are
historical estimates from before this default change, not measurements of
the new defaults.
### Setup
Development and tests require Bun 1.4.0 or newer; CI pins and tests 1.4.0.
Earlier Linux versions can close unrelated live file descriptors during
subprocess garbage collection, causing intermittent browser and HTTP fixture
failures ([upstream diagnosis](https://github.com/oven-sh/bun/issues/34785#issuecomment-5020318035)).
```bash
# 1. Copy .env.example and add your API key
cp .env.example .env
# Edit .env → set ANTHROPIC_API_KEY=sk-ant-...
# 2. Install deps (if you haven't already)
bun install
```
Bun auto-loads `.env` — no extra config. Conductor workspaces inherit `.env` from the main worktree automatically (see "Conductor workspaces" below).
### Test tiers
| Tier | Command | Cost | What it tests |
|------|---------|------|---------------|
| 1 — Static | `bun run test` | Free | Command validation, snapshot flags, Aside contract pins, render-wrapper option mapping, SKILL.md correctness, TODOS-format.md refs, observability unit tests |
| 2 — E2E | `bun run test:e2e` | ~$4.20 | Full skill execution via `claude -p` subprocess |
| 3 — LLM eval | `EVALS=1 bun test test/skill-llm-eval.test.ts` | ~$0.15 standalone | LLM-as-judge scoring of generated SKILL.md docs |
| 2+3 | `bun run test:evals` | ~$4 combined | E2E + LLM-as-judge (runs both) |
```bash
bun run test # Tier 1 only (run before every commit, ~90-100s for the full ~8,700-test suite)
bun run test:e2e # Tier 2: E2E only (needs EVALS=1, can't run inside Claude Code)
bun run test:evals # Tier 2 + 3 combined (~$4.35/run)
```
### Tier 1: Static validation (free)
Runs with `bun run test`, which routes through `scripts/test-free-shards.ts`: N
concurrent shard processes under a strict output contract — a shard that exits
without bun's own terminal summary line, or a crashed worker, fails the run, so
silent truncation can never report green. Pass `--verbose` to forward the full
child stream; `--wall-timeout <secs>` overrides the per-shard kill deadline.
`GSTACK_FREE_JOBS=<n>` overrides the shard count (digits only, loud on garbage),
and `GSTACK_FREE_RETRY_FLAKY=1` opts into one serial retry pass for
syscall-supervised sandboxes (off by default locally — dev boxes should see
flakes; the required CI free lane turns it on and uploads every flaky pass
in a JSONL ledger artifact that `bun run eval:flake-rank` folds in).
Working in a cloud sandbox? Run `scripts/sandbox-doctor.sh` once per boot to
make the suite run green (details in
[docs/TESTING_INTERNALS.md](docs/TESTING_INTERNALS.md)).
Don't type bare `bun test` for the suite: it walks the whole repo, loads paid
eval files, and misses the strict classifier. No API keys needed.
- **Skill parser tests** (`test/skill-parser.test.ts`) — Extracts every `$B` command from SKILL.md bash code blocks and validates against the command registry in `browse/src/commands.ts`. Catches typos, removed commands, and invalid snapshot flags.
- **Skill validation tests** (`test/skill-validation.test.ts`) — Validates that SKILL.md files reference only real commands and flags, and that command descriptions meet quality thresholds. Also cross-checks the skill inventory in AGENTS.md and docs/skills.md.
- **Aside driver contract** (`test/aside-driver.test.ts`) — Browser behaviour in skills is written against `scripts/resolvers/aside.ts` (`{{ASIDE_SETUP}}`) and verified live against the Aside CLI on a Mac. CI cannot run Aside, so the Aside E2E tests self-skip where `aside` is not installed; the static pins (detection, fallback hand-off, consent, credential, one-flow-per-script, sentinel) are what CI proves.
- **Aside render wrapper** (`test/aside-render.test.ts`) — Pins the option mapping and generated script of `lib/aside-render.ts` everywhere, and drives both engines hermetically with fake `aside` / `browse` executables (probe classification, the stdout contract, loopback-server policy, failure paths, the timeout kill, engine choice and the mid-run fallback); the live render (PDF + screenshot through a real Aside) runs only where Aside is open and self-skips elsewhere. make-pdf's render gates (`make-pdf/test/e2e/*-gate.test.ts`) and `test/skill-e2e-diagram.test.ts` are engine-agnostic: they run through whichever engine resolves (`browserAvailable()` — Aside, or the browse binary `bun run build:gates` compiles, which is what Linux CI does) and skip only when neither exists.
- **Render CLI** (`test/gstack-render-cli.test.ts`) — Pins `bin/gstack-render.ts` against a fake daemon (`GSTACK_SKIP_ASIDE=1` + `GSTACK_BROWSE_BIN`): argv guards exit 1 with the usage line, `--help` exits 0, `ENGINE=` first then `OK <path>` then fenced `EVAL` / `PAGE_ERRORS`, `--serve-root` containment, the no-browser first line, and prompt exit after a successful render. `make-pdf/test/cli-exit-codes.test.ts` and `make-pdf/test/setup-smoke.test.ts` pin the `pdf` binary's error-to-exit-code map and `$P setup`'s engine report.
- **Generator tests** (`test/gen-skill-docs.test.ts`) — Tests the template system: verifies placeholders resolve correctly, output includes value hints for flags (e.g. `-d <N>` not just `-d`), enriched descriptions for key commands (e.g. `is` lists valid states, `press` lists key examples).
- **Design detector, catalog, and DESIGN.md** (`test/gstack-design-detect.test.ts`, `test/design-detect-contract.test.ts`, `test/design-catalog.test.ts`, `test/design-checklist-sync.test.ts`, `test/design-md.test.ts`, `test/frontend-scope.test.ts`, `test/impeccable-fixtures.test.ts`) — Drive `bin/gstack-design-detect.ts` through the fake engine in `test/fixtures/fake-impeccable.ts` (probe order, the never-execute-a-repository-file rule, the `--changed` target allow-list, `design_detector: off`, analytics lines, output sanitizing), pin the catalog invariants and the generated `review/design-checklist.md`, round-trip the open DESIGN.md reader/writer, and check the real engine captures (`test/fixtures/impeccable-*.json`, engine 0.1.3) against the contract. `test/dom-dump-hygiene.test.ts` runs `lib/dom-dump.js` in a real Chromium page through the built browse binary; it self-skips without the binary and is opt-in outside CI (`GSTACK_DOM_DUMP_HYGIENE=1`).
- **Tier-alignment invariant** (`test/e2e-tier-alignment.test.ts`) — For every self-gated `test/skill-e2e-*.test.ts` named in a touchfiles dep list, the file's `EVALS_TIER` self-gate must match its declared tier in `E2E_TIERS`. Kills the "inert demotion" class where a test is re-tiered in `touchfiles.ts` but the file still gates on the old tier and keeps running in the wrong lane. Unmapped or mixed-tier files are reported, never silently skipped.
- **Catalog budget** (`test/catalog-budget.test.ts`) — Caps the aggregate discovery surface: the sum of every skill's frontmatter `name` + `description` (what every host loads at discovery, every session) must stay under 1,150 token-equivalents, with a 260-byte per-skill cap. Counting goes through the shared census in `test/helpers/skill-census.ts` (physical files vs authored skills vs registry entries — three deliberately different counts). Adding a skill? The failure message carries the re-measure + ratchet protocol.
- **Context-budget ratchet** (`test/context-budget-ratchet.test.ts`) — CI ceilings on the two token ledgers the catalog budget doesn't cover: the always-on full-frontmatter aggregate and each skill's per-invocation eager tokens (SKILL.md + forced-read references), graded against `test/fixtures/context-budget.json` via `lib/context-bill.ts`. New skills fail until they have a ceiling; ceilings for removed skills must be pruned. Legitimate growth or a landed reduction: re-run `bun test/helpers/capture-context-budget.ts` and commit the refreshed fixture in the same commit, so the change is a visible decision in the diff.
### Tier 2: E2E via `claude -p` (~$4.20/run)
Spawns `claude -p` as a subprocess with `--output-format stream-json --verbose`, streams NDJSON for real-time progress, and scans for browse errors. This is the closest thing to "does this skill actually work end-to-end?"
```bash
# Must run from a plain terminal — can't nest inside Claude Code or Conductor
EVALS=1 bun test test/skill-e2e-*.test.ts
```
- Gated by `EVALS=1` env var (prevents accidental expensive runs)
- Auto-skips if running inside Claude Code (`claude -p` can't nest)
- API connectivity pre-check — fails fast on ConnectionRefused before burning budget
- Real-time progress to stderr: `[Ns] turn T tool #C: Name(...)`
- Saves full NDJSON transcripts and failure JSON for debugging
- Tests live in `test/skill-e2e-*.test.ts` (split by category), runner logic in `test/helpers/session-runner.ts`
**Hermetic by default.** Every E2E runner (claude -p, the real-PTY plan-mode
runner, the Agent SDK runner, plus the codex and gemini runners) spawns its child
through `test/helpers/hermetic-env.ts`: an allowlist-scrubbed environment, a fresh
seeded `CLAUDE_CONFIG_DIR`, a temp `GSTACK_HOME`, and `--strict-mcp-config`. Your
operator `~/.claude` config, MCP servers (gbrain, Conductor), skills, `~/.gstack`
decision logs, and `CONDUCTOR_*` env never leak into the child, so local eval
signal matches CI instead of disagreeing for reasons unrelated to the code under
test. The hermetic `CLAUDE_CONFIG_DIR` seeds no skills by default; a PTY test
that types a `/skill` slash command passes `seedSkills: true` to the PTY runner,
which swaps in `hermeticSkillsConfigDir()` — a seeded skill registry that
symlinks the LIVE working tree's SKILL.md files (by design: the skills are the
subject under test, so a snapshot would measure stale copies). Set
`EVALS_HERMETIC=0` to debug against your real operator state (this also
drops `--strict-mcp-config`). The wiring is pinned by `test/hermetic-wiring.test.ts`
(a free static tripwire), two gate-tier isolation canaries in
`test/skill-e2e-hermetic-canary.test.ts`, and the skill-seeding tripwires in
`test/hermetic-skills-seeding.test.ts` / `test/pty-skill-seeding-wiring.test.ts`.
### E2E observability
When E2E tests run, they produce machine-readable artifacts in `~/.gstack-dev/`:
| Artifact | Path | Purpose |
|----------|------|---------|
| Heartbeat | `e2e-live.json` | Current test status (updated per tool call) |
| Partial results | `evals/_partial-e2e.json` | Completed tests (survives kills) |
| Progress log | `e2e-runs/{runId}/progress.log` | Append-only text log |
| NDJSON transcripts | `e2e-runs/{runId}/{test}.ndjson` | Raw `claude -p` output per test |
| Failure JSON | `e2e-runs/{runId}/{test}-failure.json` | Diagnostic data on failure |
**Live dashboard:** Run `bun run eval:watch` in a second terminal to see a live dashboard showing completed tests, the currently running test, and cost. Use `--tail` to also show the last 10 lines of progress.log.
**Eval history tools:**
```bash
bun run eval:list # list all eval runs (turns, duration, cost per run)
bun run eval:compare # compare two runs — shows per-test deltas + Takeaway commentary
bun run eval:summary # aggregate stats + per-test efficiency averages across runs
bun run eval:flake-rank # rank tests by flake signal: retried passes first, then failure rate (--json, --dir, --since-days)
```
**Detached runs for agents and long suites.** When an agent (or you, for a run
you don't want to babysit) launches a long eval, use the `eval:bg*` scripts. They
wrap the eval command in `bin/gstack-detach`: a fresh session that escapes a
turn-boundary SIGTERM, a `caffeinate` wrapper that blocks idle-sleep, a machine-wide
`gstack-evals` lock so concurrent worktrees serialize instead of saturating the
model API, a run-scoped log under `~/.gstack-dev/eval-runs/`, a per-tier watchdog,
and a guaranteed `### gstack-detach EXIT=<code> ###` sentinel so a poller never
mistakes silence for success.
```bash
bun run eval:bg # detached test:evals (diff-based)
bun run eval:bg:all # detached test:evals:all
bun run eval:bg:gate # detached gate-tier suite
bun run eval:bg:periodic # detached periodic-tier suite
```
Each prints its log path. The gate and periodic variants run their tier through
the sharded paid runner (`scripts/test-paid-shards.ts`, also available directly
as `bun run test:gate:sharded` / `bun run test:periodic:sharded`): one Bun
process per test file, an external wall-clock timeout that kills the shard's
whole process group (stray `claude`/`codex` grandchildren included), a per-shard
eval dir (`GSTACK_EVAL_DIR=<evalDir>/shards/<slug>/`), and an aggregate that
distinguishes failed vs timed-out vs never-started shards. The runner also
selects by diff: shards untouched by your branch are reported as
skipped-by-diff, with a selection banner naming the reason (`EVALS_ALL=1`
forces everything). `EVALS_JOBS` sets how many shard processes run at once
(default 8); `EVALS_CONCURRENCY` is bun's concurrency WITHIN a shard
(default 2) — they are deliberately separate knobs. `eval:list`,
`eval:compare`, `eval:summary`, and `eval:flake-rank` are shard-aware. Humans running
`bun run test:evals` foreground in their own terminal don't need this — Ctrl-C
is intended there.
**Eval comparison commentary:** `eval:compare` generates natural-language Takeaway sections interpreting what changed between runs — flagging regressions, noting improvements, calling out efficiency gains (fewer turns, faster, cheaper), and producing an overall summary. This is driven by `generateCommentary()` in `eval-store.ts`.
Artifacts are never cleaned up — they accumulate in `~/.gstack-dev/` for post-mortem debugging and trend analysis.
### Tier 3: LLM-as-judge (~$0.15/run)
Uses `claude-fable-5-1` by default to score generated SKILL.md docs on three dimensions.
Override the judge model per run with `GSTACK_EVAL_MODEL_JUDGE`:
- **Clarity** — Can an AI agent understand the instructions without ambiguity?
- **Completeness** — Are all commands, flags, and usage patterns documented?
- **Actionability** — Can the agent execute tasks using only the information in the doc?
Each dimension is scored 1-5. Threshold: every dimension must score **≥ 4**. There's also a regression test that compares generated docs against the hand-maintained baseline from `origin/main` — generated must score equal or higher.
```bash
# Needs ANTHROPIC_API_KEY in .env — included in bun run test:evals
```
- Resolves the judge model through `lib/eval-model.ts`, using the override order above
- Tests live in `test/skill-llm-eval.test.ts`
- Calls the Anthropic API directly (not `claude -p`), so it works from anywhere including inside Claude Code
### CI
A GitHub Action (`.github/workflows/skill-docs.yml`) runs `bun run gen:skill-docs --dry-run` on every push and PR. If the generated SKILL.md files differ from what's committed, CI fails. This catches stale docs before they merge.
Supply-chain gates run alongside it:
- **Quality gate** (`.github/workflows/quality-gate.yml`, every PR and push) — scans the diff's added lines for credentials using gstack's own redact engine (`.github/scripts/gate-secret-scan.mjs`). HIGH findings fail the job; MEDIUM findings surface as an advisory count. Fails closed if the scan can't produce a report. Also gates critical dependency advisories and runs ShellCheck on the setup/build boundaries.
- **Dependency review** (`.github/workflows/dependency-review.yml`) — reviews dependency changes on PRs that touch lockfiles or workflow files.
- **OSV scanner** (`.github/workflows/osv-scanner.yml`) — weekly vulnerability scan against the OSV database. Config lives in `.osv-scanner.toml` and is loaded via an explicit `--config` flag (OSV does not auto-discover that filename); every ignore entry needs a reason and an `ignoreUntil` expiry, enforced by `test/osv-config-wiring.test.ts`.
- **Dependabot** (`.github/dependabot.yml`) — grouped dependency update PRs.
The supply-chain workflows pin their third-party actions to commit SHAs. The PR template (`.github/PULL_REQUEST_TEMPLATE.md`) asks for evidence — tests run, eval output — not promises.
Tests run against the browse binary directly — they don't require dev mode. Anything that needs Aside itself (`test/skill-e2e-aside.test.ts`, the Aside qa/design cases, the live render in `test/aside-render.test.ts`) runs only on a Mac with the Aside app open and self-skips elsewhere; make-pdf's render gates and the `/diagram` E2E run on whichever engine resolves, so CI runs them on the browse binary it builds with `bun run build:gates`.
## Editing SKILL.md files
SKILL.md files are **generated** from `.tmpl` templates. Don't edit the `.md` directly — your changes will be overwritten on the next build.
```bash
# 1. Edit the template
vim SKILL.md.tmpl # or browse/SKILL.md.tmpl
# 2. Regenerate for all hosts
bun run gen:skill-docs --host all
# 3. Check health (reports all hosts)
bun run skill:check
# Or use watch mode — auto-regenerates on save
bun run dev:skill
```
For template authoring best practices (natural language over bash-isms, dynamic branch detection, `{{BASE_BRANCH_DETECT}}` usage), see CLAUDE.md's "Writing SKILL templates" section.
Browser steps in skills are `aside repl` scripts that follow the cookbook in `scripts/resolvers/aside.ts`, each paired with its `$B` equivalent for the fallback engine; run the Aside shape against the Aside CLI before committing. To add a browse command, add it to `browse/src/commands.ts`. To add a snapshot flag, add it to `SNAPSHOT_FLAGS` in `browse/src/snapshot.ts`. Then rebuild.
**Render through `lib/aside-render.ts`; don't bundle puppeteer/Chromium in a
skill.** A skill that needs to rasterize or print its own HTML/JSON (diagrams,
cards, og-images, PDFs) calls `bin/gstack-render.ts` from its template
(`--screenshot`, `--pdf`, `--eval JS --out FILE`) or imports `render` from
`lib/aside-render.ts` in TypeScript (`renderWithAside` / `renderWithBrowse` are
the engine-specific halves; `render` picks between them and retries once on the
browse engine if Aside's CLI cannot start or loses its CDP bridge mid-run). The
wrapper prints through Aside when it is open and through the `browse` daemon
when it is not (`newtab --json`, `goto` the loopback URL, `js` readiness
polling, `pdf --from-file`, `viewport` + `screenshot`, `js --out`, `closetab`)
— the one shared Chromium per box, same flags and `OK <path>` lines,
`ENGINE=aside|browse` saying which one actually rendered, `EVAL` /
`PAGE_ERRORS` lines fenced as untrusted web content. The loopback server
serves one per-render secret URL and never follows a symlink out of its
directory. Sized screenshots are 1x on the fallback (2x on Aside); JPEG
quality and `pageRanges`/`scale` are Aside-only; `--landscape` swaps paper
dimensions. Never `npm i puppeteer`, never download a second Chromium that
drifts out of version sync, never point the renderer at a website. If the
wrapper lacks an option you need, add it to `lib/aside-render.ts` (pin it in
`test/aside-render.test.ts`, and in `test/gstack-render-cli.test.ts` when it
is a CLI flag) so every caller gets it on both paths. Exported test seams:
`pickEngine(fresh, deps)` (inject the probe and the binary resolver),
`serveDir(root, nonce)`, `SAFE_TMP_DIR`, and `PAGE_NUMBER_FOOTER` (the one
page-number footer make-pdf, `gstack-render`, and the browse `pdf` command share).
## Jargon list (V1 writing style)
gstack's Writing Style section (injected into every tier-≥2 skill's preamble)
glosses technical terms on first use per skill invocation. The list of terms
that qualify for glossing lives at `scripts/jargon-list.json` — ~50 curated
high-frequency terms (idempotent, race condition, N+1, backpressure, etc.).
Terms not on the list are assumed plain-English enough.
**Adding or removing a term:** open a PR editing `scripts/jargon-list.json`.
Run `bun run gen:skill-docs` after the edit — terms are baked into every
generated SKILL.md at gen time, so changes take effect only after regeneration.
No runtime loading; no user-side override. The repo list is the source of truth.
Good candidates for addition: high-frequency terms that non-technical users
encounter in review output without context (common database/concurrency
terminology, security jargon, frontend framework concepts). Don't add terms
that only appear in one or two niche skills — the cost-to-value trade isn't
worth the review overhead.
## Multi-host development
gstack generates SKILL.md files for 10 hosts from one set of `.tmpl` templates.
Each host is a typed config in `hosts/*.ts`. The generator reads these configs
to produce host-appropriate output (different frontmatter, paths, tool names).
**Supported hosts:** Claude (primary), Codex, Factory, Kiro, OpenCode, Slate, Cursor, OpenClaw, Hermes, GBrain.
### Generating for all hosts
```bash
# Generate for a specific host
bun run gen:skill-docs # Claude (default)
bun run gen:skill-docs --host codex # Codex
bun run gen:skill-docs --host opencode # OpenCode
bun run gen:skill-docs --host all # All 10 hosts
# Or use build, which does all hosts + compiles binaries
bun run build
```
### What changes between hosts
Each host config (`hosts/*.ts`) controls:
| Aspect | Example (Claude vs Codex) |
|--------|---------------------------|
| Output directory | `{skill}/SKILL.md` vs `.agents/skills/gstack-{skill}/SKILL.md` |
| Frontmatter | Full (name, description, hooks, version) vs minimal (name + description) |
| Paths | `~/.claude/skills/gstack` vs `$GSTACK_ROOT` |
| Tool names | "use the Bash tool" vs same (Factory rewrites to "run this command") |
| Hook skills | `hooks:` frontmatter vs inline safety advisory prose |
| Suppressed sections | GBrain blocks vs GBrain blocks and Review Army; Codex retains outside-review sections routed to Claude Code |
| Model overlay | `claude` vs `gpt` (per-host `defaultModel`; `--model` or, at setup time, the Codex `config.toml` model overrides) |
See `scripts/host-config.ts` for the full `HostConfig` interface.
### Testing host output
```bash
# Run all static tests (includes parameterized smoke tests for all hosts)
bun run test
# Check freshness for all hosts
bun run gen:skill-docs --host all --dry-run
# Health dashboard covers all hosts
bun run skill:check
```
### Adding a new host
See [docs/ADDING_A_HOST.md](docs/ADDING_A_HOST.md) for the full guide. Short version:
1. Create `hosts/myhost.ts` (copy from `hosts/opencode.ts`)
2. Add to `hosts/index.ts`
3. Add `.myhost/` to `.gitignore`
4. Run `bun run gen:skill-docs --host myhost`
5. Run `bun run test` (parameterized tests auto-cover it)
Zero generator, setup, or tooling code changes needed.
### Adding a new skill
When you add a new skill template, all hosts get it automatically:
1. Create `{skill}/SKILL.md.tmpl`
2. Run `bun run gen:skill-docs --host all`
3. The dynamic template discovery picks it up, no static list to update
4. Budget it: run `bun test/helpers/capture-context-budget.ts` and commit the refreshed `test/fixtures/context-budget.json` — the context-budget ratchet fails any skill without a ceiling
5. Commit `{skill}/SKILL.md`, external host output is generated at setup time and gitignored
## Conductor workspaces
If you're using [Conductor](https://conductor.build) to run multiple Claude Code sessions in parallel, `conductor.json` wires up workspace lifecycle automatically:
| Hook | Script | What it does |
|------|--------|-------------|
| `setup` | `bin/dev-setup` | Copies `.env` from main worktree, installs deps, symlinks skills, runs `./setup` non-interactively, and (if gbrain is installed) renders brain-aware blocks into `.claude/gstack-rendered/` without dirtying tracked source |
| `archive` | `bin/dev-teardown` | Removes skill symlinks, the `.claude/gstack-rendered/` render, and cleans up `.claude/` directory |
When Conductor creates a new workspace, `bin/dev-setup` runs automatically. It detects the main worktree (via `git worktree list`), copies your `.env` so API keys carry over, and sets up dev mode — no manual steps needed.
`bin/dev-setup` runs `./setup` fully non-interactively (it passes `--plan-tune-hooks=prompt` and closes stdin), so a forwarded Conductor TTY can never hang on a hidden setup prompt. It also never installs the plan-tune Claude Code hooks, which means a throwaway workspace can't rewrite your global `~/.claude/settings.json` to point at an ephemeral worktree path. To install the plan-tune hooks deliberately, run `./setup --plan-tune-hooks` outside dev-setup (or `gstack-config set plan_tune_hooks yes`). The explicit flag counts as an explicit decision: setup's Conductor auto-opt-in for AskUserQuestion hooks fires only on the true silent fall-through (no flag, no `GSTACK_PLAN_TUNE_HOOKS` env var, no `plan_tune_hooks` key literally present in config, checked via `gstack-config has`), so it can never override dev-setup into installing hooks. One stated repair exception: setup's heal-first pass (`gstack-settings-hook prune-stale --repoint`) may prune dead gstack hook entries and re-point existing ones at the stable `~/.claude/skills/gstack` install. That is strictly convergent repair, never a new registration, and registration itself is canonical-only, so an ephemeral tree path can never be baked into settings.json.
**First-time setup:** Put your `ANTHROPIC_API_KEY` in `.env` in the main repo (see `.env.example`). Every Conductor workspace inherits it automatically.
**`GSTACK_*` env prefix (Conductor-injected keys).** Conductor explicitly strips `ANTHROPIC_API_KEY` and `OPENAI_API_KEY` from every workspace's process env. The `.env` copy path doesn't restore them either — the strip happens after env inheritance. Users who want paid evals, `/sync-gbrain` embeddings, or `claude-agent-sdk` calls to work in a Conductor workspace must set `GSTACK_ANTHROPIC_API_KEY` and `GSTACK_OPENAI_API_KEY` in Conductor's workspace env config; Conductor passes those through untouched. On the gstack side, TS entry points import `lib/conductor-env-shim.ts` as a side effect, which promotes `GSTACK_FOO_API_KEY` to `FOO_API_KEY` when the canonical name is empty. If you add a new TS entry point that hits a paid API, add `import "../lib/conductor-env-shim";` to the top of the file. Today the shim is imported from `bin/gstack-gbrain-sync.ts`, `bin/gstack-model-benchmark`, `scripts/preflight-agent-sdk.ts`, and `test/helpers/e2e-helpers.ts`.
## Things to know
- **SKILL.md files are generated.** Edit the `.tmpl` template, not the `.md`. Run `bun run gen:skill-docs` to regenerate. The same run generates `review/design-checklist.md` from `lib/design-catalog.ts` and `lib/dom-dump.js` from `lib/dom-dump-script.ts`: edit those sources, never the generated files (`test/design-checklist-sync.test.ts` fails on drift).
- **TODOS.md is the unified backlog.** Organized by skill/component with P0-P4 priorities. `/ship` auto-detects completed items. All planning/review/retro skills read it for context.
- **Browse, make-pdf, design, and `lib/` source changes need a rebuild.** If you touch `browse/src/*.ts`, `make-pdf/src/*.ts`, `design/src/*.ts`, or anything under `lib/` (the canonical `claude-bin.ts`, `error-handling.ts`, and `aside-render.ts` the binaries embed, plus `design-catalog.ts`, whose `MOCKUP_NEVER_NAMES` the design binary's mockup prompt embeds; `browse/src` re-exports the first three), run `bun run build`. `./setup` makes the same call on its own: it rebuilds when any of the three binaries is missing or when those sources, `package.json`, or `bun.lock` are newer than the browse binary (`test/setup-needs-build.test.ts` pins the decision).
- **Dev mode shadows your global install.** Project-local skills take priority over `~/.claude/skills/gstack`. `bin/dev-teardown` restores the global one.
- **Conductor workspaces are independent.** Each workspace is its own git worktree. `bin/dev-setup` runs automatically via `conductor.json`.
- **`.env` propagates across worktrees.** Set it once in the main repo, all Conductor workspaces get it.
- **`.claude/skills/` is gitignored.** The symlinks never get committed.
- **Never write raw `ln -snf` in `setup`.** Every link site in `setup` MUST route through the `_link_or_copy SRC DST` helper near the `IS_WINDOWS` detection. The helper preserves `ln -snf` on Unix and switches to `cp -R` / `cp -f` on Windows without Developer Mode, where plain `ln -snf` produces frozen file copies that don't refresh on `git pull`. `test/setup-windows-fallback.test.ts` enforces this with a static invariant — a single raw `ln` call outside the helper body fails CI.
- **Synchronous subagent dispatches must state the flag.** Claude Code runs Agent-tool subagents in the background by default (since v2.1.198), so any template step that dispatches a subagent and consumes its output must carry `run_in_background: false`. Use the `{{FOREGROUND_DISPATCH_NOTE}}` placeholder (`scripts/resolvers/constants.ts`) instead of hand-writing the guidance, and add the generated carrier file to `GENERATED_WITH_GUIDANCE` in `test/run-in-background-guidance.test.ts` in the same commit — its structural scanner fails CI on any generated dispatch imperative that lacks the flag.
- **Never delete or link over a skill entry `setup` cannot prove is gstack's.** Every destructive site in `setup` (the linker, the alias installer, both prefix-flip cleanups) and in `bin/gstack-relink` goes through the ownership helpers (`_claude_entry_is_ours` / `_claude_entry_owned_strongly` in `setup`, `_entry_is_ours` / `_entry_owned_strongly` in relink). The retired-skill prune (`_prune_stale_generated`) applies the same strong/weak split through its own gate: a real host directory is a candidate only when its SKILL.md carries the generated banner (`_owned_for_windows_refresh`), a host symlink is removed only when it resolves into gstack (`_gstack_target_is_ours`), a bannered real directory is cleaned through `_cleanup_weak_dir`, and a symlink inside the render tree is never followed. A symlink into gstack or the `.gstack-owned` marker proves the whole directory; a byte-identical or generated-banner SKILL.md proves only that file, and a differing one is moved to `~/.gstack/backups/skills/<ts>/` first. `test/setup-link-ownership.test.ts`, `test/setup-cleanup-orphans.test.ts`, `test/setup-prune-stale-generated.test.ts`, and `test/relink.test.ts` pin it. The rule is duplicated in the two scripts until the shared helper filed in TODOS.md lands: change both.
- **`./setup` never fails on Chromium.** The Playwright bootstrap (section `# 2` of `setup`) is best-effort and bounded: every failure becomes a reason code (`skipped`, `chromium-install`, `chromium-install-timeout`, `chromium-install-locked`, `windows-no-node`, `windows-node-modules`, `post-install-launch`) printed in the final summary alongside the browser-dependent skills, and skill registration always runs. `GSTACK_PLAYWRIGHT_INSTALL_TIMEOUT=<seconds>` (default 600) bounds the download; `GSTACK_SKIP_PLAYWRIGHT=1` skips it, the right knob for a no-browser box or a setup-only test loop. `GSTACK_SKIP_ASIDE=1` makes the browser summary (like the skills' probe and the renderer) treat Aside as absent, so the summary never promises a fallback the bootstrap did not deliver (`test/setup-browser-hint.test.ts`). Anything you add after the bootstrap must stay independent of the browser. `test/setup-playwright-best-effort.test.ts` pins the block.
## Testing your changes in a real project
**This is the recommended way to develop gstack.** Symlink your gstack checkout
into the project where you actually use it, so your changes are live while you
do real work.
### Step 1: Symlink your checkout
```bash
# In your core project (not the gstack repo)
ln -sfn /path/to/your/gstack-checkout .claude/skills/gstack
```
### Step 2: Run setup to create per-skill symlinks
The `gstack` symlink alone isn't enough. Claude Code discovers skills through
individual top-level directories (`qa/SKILL.md`, `ship/SKILL.md`, etc.), not through
the `gstack/` directory itself. Run `./setup` to create them:
```bash
cd .claude/skills/gstack && bun install && bun run build && ./setup
```
Setup will ask whether you want short names (`/qa`) or namespaced (`/gstack-qa`).
Your choice is saved to `~/.gstack/config.yaml` and remembered for future runs.
To skip the prompt, pass `--no-prefix` (short names) or `--prefix` (namespaced).
### Step 3: Develop
Edit a template, run `bun run gen:skill-docs`, and the next `/review` or `/qa`
call picks it up immediately. No restart needed.
### Going back to the stable global install
Remove the project-local symlink. Claude Code falls back to `~/.claude/skills/gstack/`:
```bash
rm .claude/skills/gstack
```
The per-skill directories (`qa/`, `ship/`, etc.) contain SKILL.md symlinks that point
to `gstack/...`, so they'll resolve to the global install automatically.
### Switching prefix mode
If you installed gstack with one prefix setting and want to switch:
```bash
cd .claude/skills/gstack && ./setup --no-prefix # switch to /qa, /ship
cd .claude/skills/gstack && ./setup --prefix # switch to /gstack-qa, /gstack-ship
```
Setup cleans up the old symlinks automatically. No manual cleanup needed. Only
entries gstack created are removed: a skill of your own that shares a name (a
hand-written `qa/`, say) is left in place and named in setup's final summary.
### Alternative: point your global install at a branch
If you don't want per-project symlinks, you can switch the global install:
```bash
cd ~/.claude/skills/gstack
git fetch origin
git checkout origin/<branch>
bun install && bun run build && ./setup
```
This affects all projects. To revert: `git checkout main && git pull && bun run build && ./setup`.
## Community PR triage (wave process)
When community PRs accumulate, batch them into themed waves:
1. **Categorize** — group by theme (security, features, infra, docs)
2. **Deduplicate** — if two PRs fix the same thing, pick the one that
changes fewer lines. Close the other with a note pointing to the winner.
3. **Collector branch** — create `pr-wave-N`, merge clean PRs, resolve
conflicts for dirty ones, verify with `bun run test && bun run build`
4. **Close with context** — every closed PR gets a comment explaining
why and what (if anything) supersedes it. Contributors did real work;
respect that with clear communication.
5. **Ship as one PR** — single PR to main with all attributions preserved
in merge commits. Include a summary table of what merged and what closed.
See [PR #205](../../pull/205) (v0.8.3) for the first wave as an example.
## Upgrade migrations
When a release changes on-disk state (directory structure, config format, stale
files) in ways that `./setup` alone can't fix, add a migration script so existing
users get a clean upgrade.
### When to add a migration
- Changed how skill directories are created (symlinks vs real dirs)
- Renamed or moved config keys in `~/.gstack/config.yaml`
- Need to delete orphaned files from a previous version
- Changed the format of `~/.gstack/` state files
Don't add a migration for: new features (users get them automatically), new
skills (setup discovers them), or code-only changes (no on-disk state).
### How to add one
1. Create `gstack-upgrade/migrations/v{VERSION}.sh` where `{VERSION}` matches
the VERSION file for the release that needs the fix.
2. Make it executable: `chmod +x gstack-upgrade/migrations/v{VERSION}.sh`
3. The script must be **idempotent** (safe to run multiple times) and
**non-fatal** (failures are logged but don't block the upgrade).
4. Include a comment block at the top explaining what changed, why the
migration is needed, and which users are affected.
Example:
```bash
#!/usr/bin/env bash
# Migration: v0.15.2.0 — Fix skill directory structure
# Affected: users who installed with --no-prefix before v0.15.2.0
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "$0")/../.." && pwd)"
"$SCRIPT_DIR/bin/gstack-relink" 2>/dev/null || true
```
### How it runs
During `/gstack-upgrade`, after `./setup` completes (Step 4.75), the upgrade
skill scans `gstack-upgrade/migrations/` and runs every `v*.sh` script whose
version is newer than the user's old version. Scripts run in version order.
Failures are logged but never block the upgrade.
### Testing migrations
Migrations are tested as part of `bun run test` (tier 1, free). The test suite
verifies that all migration scripts in `gstack-upgrade/migrations/` are
executable and parse without syntax errors.
## Shipping your changes
When you're happy with your skill edits:
```bash
/ship
```
This runs tests, reviews the diff, triages Greptile comments (with 2-tier escalation), manages TODOS.md, bumps the version, and opens a PR. See `ship/SKILL.md` for the full workflow.